At a Glance
- Tasks: Join a pioneering start-up to develop cutting-edge AI video tools and workflows.
- Company: Exciting pre-seed video/computer vision start-up in London.
- Benefits: High autonomy, significant impact, and the chance to shape the future of AI.
- Other info: Opportunity to tackle greenfield AI engineering challenges and solve real-world problems.
- Why this job: Be the first dedicated AI hire and drive innovation in a fast-paced environment.
- Qualifications: 5+ years in Applied AI/ML, strong Python skills, and experience with LLMs.
The predicted salary is between 80000 - 100000 £ per year.
We're looking for a Founding AI Engineer to join an exciting pre-seed video/computer vision start-up building cutting-edge agentic workflows and AI-powered video tools used in large-scale media environments.
This is a rare opportunity to become the first dedicated AI hire in a fast-moving revenue generating startup already running frontier AI models in production. You'll work directly with the founders, own AI engineering end-to-end, and have a major impact across product quality, infrastructure efficiency and technical direction.
We're looking for a high calibre AI Engineer that will be a key hire where you'll make a significant contribution to the product, with high autonomy and working on the next generation of product.
- 5+ years' experience within Applied AI/ML/MLOps
- Strong Python and production AI systems experience
- Experience with LLMs, Generative AI, prompt engineering or agentic workflows
- Exposure to AI infrastructure, deployment, evals or optimisation
- Computer vision/video/VFX/rendering/graphics experience beneficial
- Greenfield AI engineering challenges
If you enjoy building practical AI systems, moving quickly and solving real-world problems with modern AI tooling then we'd love to hear from you.
Apply now for immediate consideration or for a chat.
Tech / AI Specialist Tech / AI Specialist in London employer: Softweb Resourcing
At Softweb Resourcing, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our dynamic work culture encourages creativity and offers substantial growth opportunities for our employees, allowing you to make a meaningful impact in the AI industry while enjoying competitive compensation and equity options. Join us to be part of a pioneering team where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Tech / AI Specialist Tech / AI Specialist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Softweb Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Tech / AI Specialist Tech / AI Specialist at Softweb Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Softweb Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Tech / AI Specialist Tech / AI Specialist at Softweb Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Tech / AI Specialist Tech / AI Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Softweb Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Softweb Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Softweb Resourcing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Softweb Resourcing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
